Overview

Dataset statistics

Number of variables20
Number of observations2000
Missing cells0
Missing cells (%)0.0%
Duplicate rows6
Duplicate rows (%)0.3%
Total size in memory312.6 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 01:31:19.355609
Analysis finished2020-08-25 01:32:22.031466
Duration1 minute and 2.68 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Dataset has 6 (0.3%) duplicate rows Duplicates
att202 has 41 (2.1%) zeros Zeros
att177 has 24 (1.2%) zeros Zeros

Variables

att202
Real number (ℝ≥0)

ZEROS

Distinct count25
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.115
Minimum0.0
Maximum25.0
Zeros41
Zeros (%)2.1%
Memory size15.8 KiB
2020-08-25T01:32:22.084749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median10
Q313
95-th percentile18
Maximum25
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.113398911
Coefficient of variation (CV)0.5055263382
Kurtosis-0.5144771984
Mean10.115
Median Absolute Deviation (MAD)3
Skewness-0.08475487861
Sum20230
Variance26.14684842
2020-08-25T01:32:22.198953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
101879.3%
 
91819.0%
 
111698.5%
 
121567.8%
 
81497.4%
 
131366.8%
 
17954.8%
 
14924.6%
 
16914.5%
 
1894.5%
 
2884.4%
 
7844.2%
 
3834.2%
 
15773.9%
 
18582.9%
 
4572.9%
 
6472.4%
 
0412.1%
 
5371.8%
 
19331.7%
 
20180.9%
 
21150.8%
 
22100.5%
 
2360.3%
 
2510.1%
 
ValueCountFrequency (%) 
0412.1%
 
1894.5%
 
2884.4%
 
3834.2%
 
4572.9%
 
5371.8%
 
6472.4%
 
7844.2%
 
81497.4%
 
91819.0%
 
ValueCountFrequency (%) 
2510.1%
 
2360.3%
 
22100.5%
 
21150.8%
 
20180.9%
 
19331.7%
 
18582.9%
 
17954.8%
 
16914.5%
 
15773.9%
 

att214
Real number (ℝ≥0)

Distinct count15
Unique (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.968
Minimum4.0
Maximum18.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:22.321883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q110
median12
Q314
95-th percentile16
Maximum18
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.579787521
Coefficient of variation (CV)0.2155571124
Kurtosis-0.7458463478
Mean11.968
Median Absolute Deviation (MAD)2
Skewness0.07528338193
Sum23936
Variance6.655303652
2020-08-25T01:32:22.433380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1029414.7%
 
1126613.3%
 
1224812.4%
 
1322611.3%
 
920810.4%
 
141979.8%
 
151939.7%
 
161547.7%
 
8964.8%
 
7502.5%
 
17492.5%
 
1890.4%
 
660.3%
 
520.1%
 
420.1%
 
ValueCountFrequency (%) 
420.1%
 
520.1%
 
660.3%
 
7502.5%
 
8964.8%
 
920810.4%
 
1029414.7%
 
1126613.3%
 
1224812.4%
 
1322611.3%
 
ValueCountFrequency (%) 
1890.4%
 
17492.5%
 
161547.7%
 
151939.7%
 
141979.8%
 
1322611.3%
 
1224812.4%
 
1126613.3%
 
1029414.7%
 
920810.4%
 

att139
Real number (ℝ≥0)

Distinct count37
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.027
Minimum0.0
Maximum36.0
Zeros1
Zeros (%)< 0.1%
Memory size15.8 KiB
2020-08-25T01:32:22.774608image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median17
Q325
95-th percentile30
Maximum36
Range36
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.616973161
Coefficient of variation (CV)0.4225313786
Kurtosis-0.8727567937
Mean18.027
Median Absolute Deviation (MAD)6
Skewness0.2025895008
Sum36054
Variance58.01828014
2020-08-25T01:32:22.899647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
111397.0%
 
121055.2%
 
131035.1%
 
101035.1%
 
151005.0%
 
27984.9%
 
17894.5%
 
14864.3%
 
18824.1%
 
9783.9%
 
16783.9%
 
26783.9%
 
19763.8%
 
28753.8%
 
24693.5%
 
22633.1%
 
20633.1%
 
29633.1%
 
25623.1%
 
23532.6%
 
21512.5%
 
8361.8%
 
7331.7%
 
30321.6%
 
31291.5%
 
Other values (12)1567.8%
 
ValueCountFrequency (%) 
010.1%
 
130.1%
 
2110.5%
 
3120.6%
 
4130.7%
 
5231.1%
 
6241.2%
 
7331.7%
 
8361.8%
 
9783.9%
 
ValueCountFrequency (%) 
3660.3%
 
35140.7%
 
34100.5%
 
33221.1%
 
32170.9%
 
31291.5%
 
30321.6%
 
29633.1%
 
28753.8%
 
27984.9%
 

att178
Real number (ℝ≥0)

Distinct count18
Unique (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.277
Minimum0.0
Maximum17.0
Zeros3
Zeros (%)0.1%
Memory size15.8 KiB
2020-08-25T01:32:23.023019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median9
Q311
95-th percentile14
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.009451678
Coefficient of variation (CV)0.3243992322
Kurtosis-0.09832404278
Mean9.277
Median Absolute Deviation (MAD)2
Skewness-0.2231365856
Sum18554
Variance9.0567994
2020-08-25T01:32:23.146458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
928814.4%
 
1026213.1%
 
823411.7%
 
1121710.8%
 
71929.6%
 
121869.3%
 
131296.5%
 
61105.5%
 
14954.8%
 
5894.5%
 
4613.0%
 
15412.1%
 
3341.7%
 
2251.2%
 
16180.9%
 
1110.5%
 
1750.2%
 
030.1%
 
ValueCountFrequency (%) 
030.1%
 
1110.5%
 
2251.2%
 
3341.7%
 
4613.0%
 
5894.5%
 
61105.5%
 
71929.6%
 
823411.7%
 
928814.4%
 
ValueCountFrequency (%) 
1750.2%
 
16180.9%
 
15412.1%
 
14954.8%
 
131296.5%
 
121869.3%
 
1121710.8%
 
1026213.1%
 
928814.4%
 
823411.7%
 

att16
Real number (ℝ≥0)

Distinct count351
Unique (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671.949
Minimum527.0
Maximum987.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:23.274684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile568.95
Q1610
median652
Q3723
95-th percentile831
Maximum987
Range460
Interquartile range (IQR)113

Descriptive statistics

Standard deviation81.93596982
Coefficient of variation (CV)0.1219377807
Kurtosis0.1541791891
Mean671.949
Median Absolute Deviation (MAD)51
Skewness0.8356626585
Sum1343898
Variance6713.503151
2020-08-25T01:32:23.387067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
637231.1%
 
629190.9%
 
648180.9%
 
601170.9%
 
593170.9%
 
624160.8%
 
626160.8%
 
652160.8%
 
625160.8%
 
651160.8%
 
604160.8%
 
610150.8%
 
641150.8%
 
616150.8%
 
594150.8%
 
642140.7%
 
619140.7%
 
663140.7%
 
605140.7%
 
617130.7%
 
614130.7%
 
631130.7%
 
606130.7%
 
602130.7%
 
598130.7%
 
Other values (326)161680.8%
 
ValueCountFrequency (%) 
52720.1%
 
53110.1%
 
53410.1%
 
53610.1%
 
53710.1%
 
53810.1%
 
53920.1%
 
54110.1%
 
54220.1%
 
54610.1%
 
ValueCountFrequency (%) 
98710.1%
 
95210.1%
 
95010.1%
 
94220.1%
 
93810.1%
 
93410.1%
 
93310.1%
 
92510.1%
 
92420.1%
 
91710.1%
 

att112
Real number (ℝ≥0)

Distinct count297
Unique (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.899
Minimum574.0
Maximum1043.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:23.514432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum574
5-th percentile680
Q1769.75
median818
Q3849
95-th percentile882
Maximum1043
Range469
Interquartile range (IQR)79.25

Descriptive statistics

Standard deviation62.61193917
Coefficient of variation (CV)0.07788533033
Kurtosis0.2684048724
Mean803.899
Median Absolute Deviation (MAD)36
Skewness-0.7575355209
Sum1607798
Variance3920.254926
2020-08-25T01:32:23.625456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
858231.1%
 
844231.1%
 
850221.1%
 
847211.1%
 
816211.1%
 
832211.1%
 
837211.1%
 
845211.1%
 
833201.0%
 
862190.9%
 
846190.9%
 
810180.9%
 
825180.9%
 
818180.9%
 
840180.9%
 
801170.9%
 
811170.9%
 
813170.9%
 
819170.9%
 
863170.9%
 
856170.9%
 
864170.9%
 
852170.9%
 
855170.9%
 
843170.9%
 
Other values (272)152776.3%
 
ValueCountFrequency (%) 
57410.1%
 
59610.1%
 
60510.1%
 
60810.1%
 
61210.1%
 
61620.1%
 
62010.1%
 
62110.1%
 
62210.1%
 
62410.1%
 
ValueCountFrequency (%) 
104310.1%
 
97010.1%
 
95220.1%
 
94910.1%
 
94710.1%
 
94610.1%
 
93810.1%
 
93510.1%
 
92530.1%
 
92420.1%
 

att183
Real number (ℝ≥0)

Distinct count540
Unique (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.6795
Minimum582.0
Maximum1334.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:23.753589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum582
5-th percentile655.95
Q1741
median847
Q3957
95-th percentile1090.1
Maximum1334
Range752
Interquartile range (IQR)216

Descriptive statistics

Standard deviation138.4763902
Coefficient of variation (CV)0.1618320763
Kurtosis-0.5389741078
Mean855.6795
Median Absolute Deviation (MAD)108
Skewness0.3360271024
Sum1711359
Variance19175.71064
2020-08-25T01:32:23.879897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
763110.5%
 
990100.5%
 
907100.5%
 
801100.5%
 
970100.5%
 
1006100.5%
 
70490.4%
 
96990.4%
 
75790.4%
 
80690.4%
 
92490.4%
 
98090.4%
 
69280.4%
 
91680.4%
 
72680.4%
 
69380.4%
 
73180.4%
 
75080.4%
 
76880.4%
 
75380.4%
 
76980.4%
 
82880.4%
 
66780.4%
 
87280.4%
 
66680.4%
 
Other values (515)178189.0%
 
ValueCountFrequency (%) 
58210.1%
 
58410.1%
 
58910.1%
 
59210.1%
 
59510.1%
 
59810.1%
 
59910.1%
 
60010.1%
 
60110.1%
 
60410.1%
 
ValueCountFrequency (%) 
133410.1%
 
129910.1%
 
128110.1%
 
127610.1%
 
126210.1%
 
125210.1%
 
124510.1%
 
124110.1%
 
123420.1%
 
123010.1%
 

att74
Real number (ℝ≥0)

Distinct count361
Unique (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.2515
Minimum125.0
Maximum613.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:24.015109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile211
Q1266
median317
Q3381
95-th percentile481
Maximum613
Range488
Interquartile range (IQR)115

Descriptive statistics

Standard deviation82.39424527
Coefficient of variation (CV)0.2517765244
Kurtosis-0.2837404978
Mean327.2515
Median Absolute Deviation (MAD)56
Skewness0.4751018599
Sum654503
Variance6788.811654
2020-08-25T01:32:24.122184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
334170.9%
 
303160.8%
 
318150.8%
 
264140.7%
 
273140.7%
 
259140.7%
 
280140.7%
 
272140.7%
 
351140.7%
 
279140.7%
 
285140.7%
 
271140.7%
 
267140.7%
 
304130.7%
 
282130.7%
 
287130.7%
 
243130.7%
 
324130.7%
 
317130.7%
 
241130.7%
 
312120.6%
 
300120.6%
 
288120.6%
 
340120.6%
 
260120.6%
 
Other values (336)166183.0%
 
ValueCountFrequency (%) 
12510.1%
 
14210.1%
 
14320.1%
 
14710.1%
 
14810.1%
 
14920.1%
 
16010.1%
 
16110.1%
 
16210.1%
 
16310.1%
 
ValueCountFrequency (%) 
61310.1%
 
57710.1%
 
57110.1%
 
57010.1%
 
55910.1%
 
55310.1%
 
54610.1%
 
54510.1%
 
54210.1%
 
54130.1%
 

att206
Real number (ℝ≥0)

Distinct count330
Unique (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320.7825
Minimum145.0
Maximum565.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:24.236646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile225
Q1270
median310
Q3366
95-th percentile447
Maximum565
Range420
Interquartile range (IQR)96

Descriptive statistics

Standard deviation69.48709536
Coefficient of variation (CV)0.2166174756
Kurtosis0.05301534958
Mean320.7825
Median Absolute Deviation (MAD)46
Skewness0.576572041
Sum641565
Variance4828.456422
2020-08-25T01:32:24.339127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
296221.1%
 
287211.1%
 
277180.9%
 
252170.9%
 
320160.8%
 
283160.8%
 
313160.8%
 
330160.8%
 
280160.8%
 
298150.8%
 
309150.8%
 
288150.8%
 
273150.8%
 
345150.8%
 
246150.8%
 
295150.8%
 
348150.8%
 
307150.8%
 
372140.7%
 
268140.7%
 
274140.7%
 
310140.7%
 
272140.7%
 
286140.7%
 
247130.7%
 
Other values (305)161080.5%
 
ValueCountFrequency (%) 
14510.1%
 
15210.1%
 
17010.1%
 
17210.1%
 
17310.1%
 
17810.1%
 
17920.1%
 
18410.1%
 
18710.1%
 
18810.1%
 
ValueCountFrequency (%) 
56510.1%
 
55710.1%
 
55610.1%
 
55010.1%
 
54810.1%
 
54210.1%
 
53610.1%
 
52910.1%
 
52810.1%
 
51710.1%
 

att140
Real number (ℝ≥0)

Distinct count35
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.856
Minimum2.0
Maximum36.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:24.450015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median19
Q326
95-th percentile32
Maximum36
Range34
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.324280616
Coefficient of variation (CV)0.368869894
Kurtosis-0.865243563
Mean19.856
Median Absolute Deviation (MAD)5
Skewness0.0906220682
Sum39712
Variance53.64508654
2020-08-25T01:32:24.563827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
201226.1%
 
181216.0%
 
161145.7%
 
171015.1%
 
15984.9%
 
19924.6%
 
30904.5%
 
22904.5%
 
10773.9%
 
14743.7%
 
21733.6%
 
23703.5%
 
29703.5%
 
31663.3%
 
25653.2%
 
26623.1%
 
24613.0%
 
12592.9%
 
13582.9%
 
9582.9%
 
8572.9%
 
27542.7%
 
32542.7%
 
11472.4%
 
28412.1%
 
Other values (10)1266.3%
 
ValueCountFrequency (%) 
210.1%
 
350.2%
 
440.2%
 
530.1%
 
690.4%
 
7361.8%
 
8572.9%
 
9582.9%
 
10773.9%
 
11472.4%
 
ValueCountFrequency (%) 
3610.1%
 
3560.3%
 
34251.2%
 
33361.8%
 
32542.7%
 
31663.3%
 
30904.5%
 
29703.5%
 
28412.1%
 
27542.7%
 

att160
Real number (ℝ≥0)

Distinct count403
Unique (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674.847
Minimum470.0
Maximum1029.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:24.689950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum470
5-th percentile554
Q1602
median652
Q3745.25
95-th percentile848
Maximum1029
Range559
Interquartile range (IQR)143.25

Descriptive statistics

Standard deviation94.42785554
Coefficient of variation (CV)0.1399248356
Kurtosis-0.1685876074
Mean674.847
Median Absolute Deviation (MAD)62
Skewness0.6674722837
Sum1349694
Variance8916.619901
2020-08-25T01:32:24.802390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
601211.1%
 
612170.9%
 
611160.8%
 
616150.8%
 
622150.8%
 
656150.8%
 
619150.8%
 
630150.8%
 
618150.8%
 
621150.8%
 
591150.8%
 
571150.8%
 
604150.8%
 
617140.7%
 
598140.7%
 
625140.7%
 
641130.7%
 
587130.7%
 
593130.7%
 
602130.7%
 
608130.7%
 
592130.7%
 
584120.6%
 
605120.6%
 
599120.6%
 
Other values (378)164082.0%
 
ValueCountFrequency (%) 
47010.1%
 
47110.1%
 
47510.1%
 
48310.1%
 
49010.1%
 
49410.1%
 
49510.1%
 
49710.1%
 
49810.1%
 
50110.1%
 
ValueCountFrequency (%) 
102910.1%
 
101810.1%
 
99410.1%
 
98610.1%
 
98110.1%
 
97810.1%
 
97510.1%
 
96810.1%
 
95910.1%
 
95810.1%
 

att31
Real number (ℝ≥0)

Distinct count41
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.905
Minimum0.0
Maximum40.0
Zeros9
Zeros (%)0.4%
Memory size15.8 KiB
2020-08-25T01:32:24.923971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median22
Q329
95-th percentile37
Maximum40
Range40
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.159307914
Coefficient of variation (CV)0.4181377728
Kurtosis-0.5328570547
Mean21.905
Median Absolute Deviation (MAD)6
Skewness-0.1615702775
Sum43810
Variance83.89292146
2020-08-25T01:32:25.045015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
161135.7%
 
15924.6%
 
19864.3%
 
22864.3%
 
24844.2%
 
23834.2%
 
17824.1%
 
20763.8%
 
18753.8%
 
25753.8%
 
21743.7%
 
14683.4%
 
28673.4%
 
34623.1%
 
30613.0%
 
26582.9%
 
27552.8%
 
29542.7%
 
33532.6%
 
32512.5%
 
31492.5%
 
36462.3%
 
37381.9%
 
35371.8%
 
38361.8%
 
Other values (16)33917.0%
 
ValueCountFrequency (%) 
090.4%
 
1180.9%
 
2170.9%
 
3190.9%
 
4201.0%
 
5221.1%
 
6301.5%
 
7271.4%
 
8221.1%
 
9130.7%
 
ValueCountFrequency (%) 
4070.4%
 
39261.3%
 
38361.8%
 
37381.9%
 
36462.3%
 
35371.8%
 
34623.1%
 
33532.6%
 
32512.5%
 
31492.5%
 

att191
Real number (ℝ≥0)

Distinct count25
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.1325
Minimum0.0
Maximum24.0
Zeros8
Zeros (%)0.4%
Memory size15.8 KiB
2020-08-25T01:32:25.176545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q315
95-th percentile20
Maximum24
Range24
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.388549154
Coefficient of variation (CV)0.4840376513
Kurtosis-0.8897569812
Mean11.1325
Median Absolute Deviation (MAD)4
Skewness-0.02277445918
Sum22265
Variance29.03646198
2020-08-25T01:32:25.296676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
121397.0%
 
101346.7%
 
111296.5%
 
141296.5%
 
131276.3%
 
161165.8%
 
151105.5%
 
31085.4%
 
81025.1%
 
41015.1%
 
9995.0%
 
5964.8%
 
18914.5%
 
17894.5%
 
6804.0%
 
7763.8%
 
19723.6%
 
2572.9%
 
20452.2%
 
21331.7%
 
1281.4%
 
22201.0%
 
23100.5%
 
080.4%
 
2410.1%
 
ValueCountFrequency (%) 
080.4%
 
1281.4%
 
2572.9%
 
31085.4%
 
41015.1%
 
5964.8%
 
6804.0%
 
7763.8%
 
81025.1%
 
9995.0%
 
ValueCountFrequency (%) 
2410.1%
 
23100.5%
 
22201.0%
 
21331.7%
 
20452.2%
 
19723.6%
 
18914.5%
 
17894.5%
 
161165.8%
 
151105.5%
 

att10
Real number (ℝ≥0)

Distinct count18
Unique (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.054
Minimum0.0
Maximum17.0
Zeros6
Zeros (%)0.3%
Memory size15.8 KiB
2020-08-25T01:32:25.418046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.084412468
Coefficient of variation (CV)0.4511169062
Kurtosis-0.9843901956
Mean9.054
Median Absolute Deviation (MAD)3
Skewness-0.1765742586
Sum18108
Variance16.68242521
2020-08-25T01:32:25.550774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1124712.3%
 
1022911.5%
 
121778.8%
 
41527.6%
 
31346.7%
 
51336.7%
 
91336.7%
 
131246.2%
 
141165.8%
 
61015.1%
 
7995.0%
 
15904.5%
 
16733.6%
 
8733.6%
 
2673.4%
 
1281.4%
 
17180.9%
 
060.3%
 
ValueCountFrequency (%) 
060.3%
 
1281.4%
 
2673.4%
 
31346.7%
 
41527.6%
 
51336.7%
 
61015.1%
 
7995.0%
 
8733.6%
 
91336.7%
 
ValueCountFrequency (%) 
17180.9%
 
16733.6%
 
15904.5%
 
141165.8%
 
131246.2%
 
121778.8%
 
1124712.3%
 
1022911.5%
 
91336.7%
 
8733.6%
 

att68
Real number (ℝ≥0)

Distinct count38
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.771
Minimum3.0
Maximum40.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:25.675515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q115
median20
Q325
95-th percentile30
Maximum40
Range37
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.834611544
Coefficient of variation (CV)0.345688713
Kurtosis-0.4940467591
Mean19.771
Median Absolute Deviation (MAD)5
Skewness-0.03066685368
Sum39542
Variance46.71191496
2020-08-25T01:32:25.792117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
191175.9%
 
141125.6%
 
181105.5%
 
241095.5%
 
201065.3%
 
271045.2%
 
261035.1%
 
131005.0%
 
16954.8%
 
21944.7%
 
22894.5%
 
25824.1%
 
17824.1%
 
15804.0%
 
28794.0%
 
23743.7%
 
12693.5%
 
29422.1%
 
30391.9%
 
11391.9%
 
10351.8%
 
8331.7%
 
6311.6%
 
31251.2%
 
7241.2%
 
Other values (13)1276.3%
 
ValueCountFrequency (%) 
340.2%
 
490.4%
 
5170.9%
 
6311.6%
 
7241.2%
 
8331.7%
 
9231.1%
 
10351.8%
 
11391.9%
 
12693.5%
 
ValueCountFrequency (%) 
4010.1%
 
3910.1%
 
3810.1%
 
3720.1%
 
3690.4%
 
35140.7%
 
34100.5%
 
33140.7%
 
32221.1%
 
31251.2%
 

att177
Real number (ℝ≥0)

ZEROS

Distinct count45
Unique (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.897
Minimum0.0
Maximum44.0
Zeros24
Zeros (%)1.2%
Memory size15.8 KiB
2020-08-25T01:32:25.927615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median16
Q325
95-th percentile39
Maximum44
Range44
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.58958801
Coefficient of variation (CV)0.6475715489
Kurtosis-0.770769682
Mean17.897
Median Absolute Deviation (MAD)8
Skewness0.477965612
Sum35794
Variance134.3185503
2020-08-25T01:32:26.238523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
18914.5%
 
20804.0%
 
16773.9%
 
19733.6%
 
14703.5%
 
9703.5%
 
11693.5%
 
6683.4%
 
1653.2%
 
8643.2%
 
15633.1%
 
7613.0%
 
10613.0%
 
13603.0%
 
4562.8%
 
22562.8%
 
2542.7%
 
21532.6%
 
5522.6%
 
12522.6%
 
17502.5%
 
3502.5%
 
37432.1%
 
23371.8%
 
39361.8%
 
Other values (20)48924.4%
 
ValueCountFrequency (%) 
0241.2%
 
1653.2%
 
2542.7%
 
3502.5%
 
4562.8%
 
5522.6%
 
6683.4%
 
7613.0%
 
8643.2%
 
9703.5%
 
ValueCountFrequency (%) 
4430.1%
 
43110.5%
 
42170.9%
 
41301.5%
 
40341.7%
 
39361.8%
 
38331.7%
 
37432.1%
 
36301.5%
 
35341.7%
 

att173
Real number (ℝ≥0)

Distinct count454
Unique (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean941.9585
Minimum479.0
Maximum1179.0
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:26.361157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum479
5-th percentile702
Q1892
median969
Q31019
95-th percentile1069
Maximum1179
Range700
Interquartile range (IQR)127

Descriptive statistics

Standard deviation109.9028621
Coefficient of variation (CV)0.1166748451
Kurtosis0.7265534587
Mean941.9585
Median Absolute Deviation (MAD)58
Skewness-1.073823789
Sum1883917
Variance12078.6391
2020-08-25T01:32:26.484897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1010201.0%
 
966180.9%
 
1029170.9%
 
961160.8%
 
1026160.8%
 
1017160.8%
 
964150.8%
 
1011150.8%
 
990150.8%
 
998140.7%
 
1043140.7%
 
1048130.7%
 
1006130.7%
 
1016130.7%
 
938120.6%
 
968120.6%
 
1054120.6%
 
1012120.6%
 
1042120.6%
 
947120.6%
 
996120.6%
 
957120.6%
 
1014120.6%
 
959120.6%
 
1003120.6%
 
Other values (429)165382.7%
 
ValueCountFrequency (%) 
47910.1%
 
56610.1%
 
57610.1%
 
57810.1%
 
58010.1%
 
58110.1%
 
58710.1%
 
59210.1%
 
59310.1%
 
60710.1%
 
ValueCountFrequency (%) 
117910.1%
 
117810.1%
 
117210.1%
 
115110.1%
 
114510.1%
 
114110.1%
 
114010.1%
 
113610.1%
 
113410.1%
 
113020.1%
 

att19
Real number (ℝ≥0)

Distinct count42
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.862
Minimum0.0
Maximum41.0
Zeros20
Zeros (%)1.0%
Memory size15.8 KiB
2020-08-25T01:32:26.612181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median18
Q326
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.15522133
Coefficient of variation (CV)0.5685377522
Kurtosis-1.025614597
Mean17.862
Median Absolute Deviation (MAD)8
Skewness0.008719796666
Sum35724
Variance103.1285203
2020-08-25T01:32:26.716352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
19974.9%
 
31814.0%
 
23814.0%
 
20783.9%
 
3753.8%
 
17713.5%
 
7683.4%
 
16683.4%
 
15663.3%
 
22633.1%
 
21633.1%
 
18623.1%
 
32613.0%
 
5603.0%
 
1582.9%
 
6572.9%
 
8562.8%
 
14522.6%
 
2512.5%
 
33512.5%
 
25512.5%
 
24512.5%
 
12512.5%
 
4502.5%
 
30492.5%
 
Other values (17)42921.4%
 
ValueCountFrequency (%) 
0201.0%
 
1582.9%
 
2512.5%
 
3753.8%
 
4502.5%
 
5603.0%
 
6572.9%
 
7683.4%
 
8562.8%
 
9391.9%
 
ValueCountFrequency (%) 
4120.1%
 
4020.1%
 
39100.5%
 
38120.6%
 
3790.4%
 
36150.8%
 
35150.8%
 
34301.5%
 
33512.5%
 
32613.0%
 

att155
Real number (ℝ≥0)

Distinct count18
Unique (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3545
Minimum0.0
Maximum17.0
Zeros6
Zeros (%)0.3%
Memory size15.8 KiB
2020-08-25T01:32:26.829320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q312
95-th percentile15
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.706440152
Coefficient of variation (CV)0.3962200173
Kurtosis-0.6245856902
Mean9.3545
Median Absolute Deviation (MAD)2
Skewness-0.379783193
Sum18709
Variance13.7376986
2020-08-25T01:32:26.956904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1125212.6%
 
1023611.8%
 
91909.5%
 
121859.2%
 
131557.8%
 
81467.3%
 
141417.0%
 
51155.8%
 
71135.7%
 
41075.3%
 
3904.5%
 
15773.9%
 
6613.0%
 
2532.6%
 
16422.1%
 
1251.2%
 
060.3%
 
1760.3%
 
ValueCountFrequency (%) 
060.3%
 
1251.2%
 
2532.6%
 
3904.5%
 
41075.3%
 
51155.8%
 
6613.0%
 
71135.7%
 
81467.3%
 
91909.5%
 
ValueCountFrequency (%) 
1760.3%
 
16422.1%
 
15773.9%
 
141417.0%
 
131557.8%
 
121859.2%
 
1125212.6%
 
1023611.8%
 
91909.5%
 
81467.3%
 

target
Real number (ℝ≥0)

Distinct count10
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Memory size15.8 KiB
2020-08-25T01:32:27.085589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5.5
Q38
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.872999663
Coefficient of variation (CV)0.5223635751
Kurtosis-1.224302538
Mean5.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum11000
Variance8.254127064
2020-08-25T01:32:27.210149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1020010.0%
 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 
ValueCountFrequency (%) 
120010.0%
 
220010.0%
 
320010.0%
 
420010.0%
 
520010.0%
 
620010.0%
 
720010.0%
 
820010.0%
 
920010.0%
 
1020010.0%
 
ValueCountFrequency (%) 
1020010.0%
 
920010.0%
 
820010.0%
 
720010.0%
 
620010.0%
 
520010.0%
 
420010.0%
 
320010.0%
 
220010.0%
 
120010.0%
 

Interactions

2020-08-25T01:31:20.801226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:20.936497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:21.077718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:21.420357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:21.563970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:21.698318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:21.831659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:21.976040image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:22.109101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:22.238456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:22.376447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:22.515864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:22.662562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:22.798254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:22.941324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:23.084355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:23.217307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:23.361041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:23.491956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:23.635396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:23.768217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:23.914147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:24.067354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:24.221070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:24.377986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:24.525593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:24.667438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:24.824505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:24.965165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:25.102030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:25.253787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:25.399451image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:25.554830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:25.698519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:26.055775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:26.205296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:26.347342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:26.499774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:26.642573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:26.802374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:26.945969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:27.091060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:27.246241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:27.399808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:27.555385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:27.697766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:27.845670image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:31:58.685288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:59.064086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:59.208798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:59.353615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:59.511384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:59.653631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:59.796076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:31:59.929853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:00.073305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:00.225832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:00.384014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:00.539983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:00.683606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:00.832558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:00.989251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:01.130908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:01.274118image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:01.426647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:01.573709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:01.731080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:01.884683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:02.041896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:02.195124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:02.336380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:02.492841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:02.633601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:02.787805image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:02.932930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:03.078604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:03.230454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:03.384363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:03.539783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:03.883063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:04.025513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:04.180107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:04.321649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:04.462433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:04.610053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:04.755397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:04.911266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:05.057464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:05.214649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:05.366227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:05.508003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:05.667836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:05.812364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:05.973856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:06.115280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:06.256121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:06.391470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:06.530863image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:06.668779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:06.795461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:06.923638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:07.075352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:07.213371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:07.336512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:07.470654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:07.600018image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:07.738491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:07.866728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:08.007220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:08.143342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:08.463982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:08.602008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:08.726853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:08.872172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:08.999069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:09.155342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:09.304085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:09.458164image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:09.609173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:09.749466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:09.897323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:10.057395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:10.200300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:10.338974image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:10.489312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:10.647254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:10.815027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:10.965947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:11.136225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:11.291039image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:11.434064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:11.601004image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:11.752731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:11.914061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:12.071512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:12.205729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:12.348374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:12.489884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:12.646057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:12.778930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:12.914618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:13.273482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:13.400719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:13.523494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:13.657260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:13.789029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:13.932684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.069680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.207370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.343590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.469302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.609093image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.733561image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.871527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:14.996705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:15.145830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:15.298233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:15.459945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:15.615092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:15.761000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:15.913991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:16.081917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:16.232077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:16.389055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:16.557166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:16.723700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:16.891226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:17.043145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:17.214642image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:17.378710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:17.528158image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:17.692799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:18.053426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:18.216615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:18.362274image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:18.501199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:18.646403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:18.793454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:18.941247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:19.077420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:19.215410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:19.364743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:19.497125image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:19.623538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:19.764296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:19.900301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:20.051911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:20.189712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:20.333830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:20.480669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:20.619085image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:20.765396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:20.896606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:21.041045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:32:27.369035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:32:27.699472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:32:28.038024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:32:28.386978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:32:21.335497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:32:21.848593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

att202att214att139att178att16att112att183att74att206att140att160att31att191att10att68att177att173att19att155target
010.015.011.012.0624.0886.0607.0518.0421.08.0644.038.09.06.028.012.0961.07.010.01
110.013.016.08.0548.0796.0687.0427.0354.010.0614.029.010.04.030.019.0979.02.05.01
213.014.017.09.0560.0790.0672.0377.0348.09.0542.024.010.03.027.010.0943.07.07.01
311.012.09.07.0629.0879.0711.0390.0419.09.0651.036.012.05.027.015.0959.05.05.01
48.015.017.08.0613.0871.0763.0365.0342.09.0651.028.010.04.027.014.0955.05.07.01
59.010.025.07.0591.0829.0885.0332.0257.019.0709.020.011.09.025.025.01015.015.04.01
67.014.011.013.0606.0842.0661.0489.0408.07.0584.038.011.07.027.018.0983.07.06.01
711.016.010.011.0620.0884.0667.0385.0296.010.0642.035.08.05.028.016.0986.04.011.01
87.014.012.013.0577.0831.0643.0532.0429.08.0573.039.08.07.028.021.01003.08.09.01
910.013.010.010.0573.0787.0665.0415.0428.07.0559.035.08.04.029.012.0963.04.05.01

Last rows

att202att214att139att178att16att112att183att74att206att140att160att31att191att10att68att177att173att19att155target
199016.013.018.08.0564.0810.0949.0355.0368.016.0612.019.04.04.018.022.0973.022.011.010
199110.015.01.010.0813.0899.0720.0305.0312.028.0923.028.016.04.026.030.01028.013.011.010
199213.012.016.011.0658.0924.0931.0310.0229.017.0710.017.04.07.019.020.0953.020.09.010
19939.014.011.013.0606.0846.0869.0343.0318.016.0618.020.018.07.020.015.0994.019.09.010
199421.010.017.013.0580.0850.01069.0435.0430.015.0600.024.03.09.019.019.01019.021.010.010
199513.014.016.013.0617.0877.0991.0386.0293.016.0611.015.011.07.018.013.0950.020.08.010
199621.010.019.013.0620.0848.0997.0296.0287.013.0724.024.01.09.021.023.0997.025.012.010
19978.015.013.014.0649.0881.0924.0315.0348.017.0709.014.018.010.021.023.0977.017.09.010
199812.013.015.010.0604.0844.0938.0395.0332.016.0634.012.020.04.020.015.0963.019.07.010
199911.012.018.09.0717.0853.0951.0259.0296.023.0799.021.03.05.029.033.01026.022.010.010

Duplicate rows

Most frequent

att202att214att139att178att16att112att183att74att206att140att160att31att191att10att68att177att173att19att155targetcount
02.09.026.010.0642.0760.0834.0241.0198.016.0628.019.020.012.014.06.0831.012.07.072
13.012.027.09.0801.0753.0877.0241.0320.015.0733.018.015.013.013.011.0790.015.010.072
211.08.018.09.0616.0820.0925.0313.0310.08.0626.027.03.015.014.012.01055.026.010.042
311.012.018.09.0717.0853.0951.0259.0296.023.0799.021.03.05.029.033.01026.022.010.0102
416.011.02.08.0591.0739.0765.0357.0320.03.0521.029.012.010.023.06.01068.016.01.062
517.010.025.011.0832.0810.0941.0190.0277.030.0886.026.09.011.014.042.01079.039.010.082